Upwind Security
Upwind Security
Upwind Security बहु-क्लाउड अवसंरचनाओं पर काम करने वाले संगठनों के लिए क्लाउड सुरक्षा सॉफ़्टवेयर विकसित करती है। इसका प्लेटफ़ॉर्म क्लाउड सुरक्षा स्थिति प्रबंधन, रनटाइम भेद्यता प्रबंधन, API सुरक्षा और संबंधित क्षमताओं को एक साथ लाता है, ताकि DevOps और सुरक्षा टीमें वास्तविक समय में खतरों का पता लगा सकें, भेद्यताओं को प्राथमिकता दे सकें और अवसंरचना तथा अनुप्रयोग जोखिमों का अधिक कुशलता से प्रबंधन कर सकें।

AI Engineer, LLM Agents

Develop and deploy LLM agents for Upwind Security’s cloud security platform. Research, evaluate, and build autonomous workflows for investigating and remediating runtime threats.

विवरण

  • Develop LLM agents to investigate, triage, and remediate cloud security threats.
  • Take AI work from research through production, prototyping models, techniques, and agent designs and shipping successful solutions.
  • Train, fine-tune, and evaluate security models using runtime events, cloud logs, identity data, and network activity.
  • Develop the internal AI platform, including its services, pipelines, evaluations, and observability.
  • Work with Security Researchers, Product, and Engineering to turn research into production-ready autonomous workflows.

आवश्यकताएँ

  • At least 3 years building production AI/ML systems, including LLM agents with modern AI and agent frameworks.
  • Strong backend engineering skills and proficiency in Python.
  • Experience training or fine-tuning machine learning models and LLMs.
  • Strong grasp of AI system reliability, including prompting and context engineering, evaluation pipelines, LLM-as-judge, regression testing, and production monitoring.
  • Demonstrated AI research skills: following relevant literature, defining open problems, designing rigorous experiments, and benchmarking techniques against current methods.
  • Ability to take ownership, work independently and collaboratively in a fast-paced setting, and connect research with product engineering.
  • Bachelor’s or master’s degree in Computer Science, Data Science, or a related discipline.
  • Preferred: Cybersecurity experience, such as cloud security, threat detection, or incident response.
  • Preferred: Practical experience with AWS, Google Cloud Platform, or Azure, and Kubernetes.
  • Preferred: Research publications, open-source contributions, or other work demonstrating AI expertise.

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